conda-recipes

by CDAT Python Version: Current License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | conda-recipes Summary

conda-recipes is a Python library. conda-recipes has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However conda-recipes build file is not available. You can download it from GitHub.

conda-recipes

Support

Quality

Security

License

Reuse

Support

conda-recipes has a low active ecosystem.

It has 7 star(s) with 6 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 7 have been closed. On average issues are closed in 0 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of conda-recipes is current.

Quality

conda-recipes has no bugs reported.

Security

conda-recipes has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

conda-recipes is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

conda-recipes releases are not available. You will need to build from source code and install.

conda-recipes has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed conda-recipes and discovered the below as its top functions. This is intended to give you an instant insight into conda-recipes implemented functionality, and help decide if they suit your requirements.

Prepare a package in a local repo
Run a git command
Run a command
Prepare condarc environment
Runs a list of commands
Download the asset SHA for a given tag
Run a command and capture output
Build a package in a local directory
Do build
Rerender recipe in local repo
Rerender conda files
Construct the package version
Get the git revision
Copy files from package to repo_dir
Copy a file from a repo
Rerender package in workdir
Create fake feedstock directory
Get the latest tag from repo_dir
Clone the feedstock repo
Check if the package is a conda -forge package
Clone a repo
Finds the path to activate
Build in local repo

Get all kandi verified functions for this library.

conda-recipes Key Features

No Key Features are available at this moment for conda-recipes.

conda-recipes Examples and Code Snippets

No Code Snippets are available at this moment for conda-recipes.

Community Discussions

Trending Discussions on conda-recipes

`conda build gcc-5` Fails on Mac OS Mojave

how to test imports from building perl modules for conda?

Jupyter Notebook starting directly invalid character in indentifier

Why is conda build appending py27_0 to my package name if I'm building under python 3.6.1?

Making compiled packages using conda build

QUESTION

`conda build gcc-5` Fails on Mac OS Mojave

Asked 2019-Oct-08 at 15:03

Using conda, I can not seem to build gcc-5 (or any gcc-X version) recipe on MacOS Mojave:

System pre-reqs

Install Xcode
Command Line Tools
Install headers package (/Library/Developer/CommandLineTools/Packages/macOS_SDK_headers_for_macOS_10.14.pkg)
Run Xcode, to finalize the install.

Conda pre-reqs

Install Conda, conda-build
Obtain conda-recipes:

...

ANSWER

Answered 2019-Oct-08 at 15:03

coda-recipes is deprecated, see README.md, conda-forge is the replacement.

On conda-forge, check out clangdev-feedstock.

Source https://stackoverflow.com/questions/58277232

QUESTION

how to test imports from building perl modules for conda?

Asked 2018-May-16 at 17:38

Whenever I try to build any perl recipes for conda (example), I get the following type of error:

...

ANSWER

Answered 2018-May-16 at 17:38

Self-answer:

It was a bug in conda that was patched later on: https://github.com/conda/conda-build/issues/1967

Instead of the meta.yaml parsing Perl import test statements as Perl, it was parsing them as Python.

Source https://stackoverflow.com/questions/50356636

QUESTION

Jupyter Notebook starting directly invalid character in indentifier

Asked 2018-Jan-22 at 17:51

I'm trying to change my Jupyter notebook starting directory by changing c.NotebookApp.notebook_dir

...

ANSWER

Answered 2018-Jan-22 at 17:51

This has nothing to do with jupyter: that character, and the one on the other end of your string, is not an ASCII apostrophe:

Source https://stackoverflow.com/questions/48387368

QUESTION

Why is conda build appending py27_0 to my package name if I'm building under python 3.6.1?

Asked 2017-May-09 at 15:43

I'm trying to make a conda recipe for ProjectQ. Something weird is going on during the build process under both linux and osx. I can build and install the package by hand (i.e. using 'python setup.py install' from the cloned git repo directory). However, when I make a recipe that does exactly the same thing, it fails. On both linux and osx.

My build recipe is here. What is particularly weird is that even though I specify python 3.6.* under the build requirements in the meta.yaml file, the conda-build procedure names the package "projectq-v0.3.0-py27_0", and when it installs the package, it tries to do so in one of the python 2.7 directories, which is what I assume makes it fail.

So clearly I'm doing something dumb, but I can't for the life of me figure out what. Can anyone see anything I've done wrong? Thanks in advance.

...

ANSWER

Answered 2017-May-09 at 15:43

I figured this out. Thanks to everyone who took the time to look over my question. There was truly no way that anyone could have figured this out for me, since it was rather specific to the package I was installing. I'm going to try to summarize what I've learned in case someone else runs into anything different.

First, as I noted in one of the comments, if you're specifying a specific version requirement under the build, you had better specify the same version requirement under run. Initially I had "python 3.6.*" specified under build, but just "python" under run. This caused the package to be named something ending with "-py27_0", since the package name, understandably, depends upon what's required to run it, not to build it.
The really tricky thing was to understand that there were additional requirements specified in the setup.py script that were being installed automatically when I ran "python setup.py install" by hand, but were not being run when I tried to build under conda. Once I added these requirements to the meta.yaml recipe, everything builds and tests fine.

So, the lessons are to be consistent with your conda requirements between build and run, and make sure you have all of the requirements listed, including bonus requirements that may be specified in the setup.py file.

Thanks again to all who looked at this.

Source https://stackoverflow.com/questions/43826263

QUESTION

Making compiled packages using conda build

Asked 2017-Feb-08 at 21:40

I'm trying to get some R packages compiled using conda build for upload to anaconda.org, but they just end up containing the recipe. I feel like I may be missing an option for conda build or something. For the sake of this example, say I download the three files for the recipe for r-aer from here: https://github.com/conda/conda-recipes/tree/master/r-packages/r-aer and then run

...

ANSWER

Answered 2017-Feb-08 at 21:40

Looks like when I ran conda build . it was installing the (test) library to the first path given by .libPaths(), which wasn't the path to the conda build environment. Setting .libPaths() to only refer to the active environment directory fixed this problem.

Source https://stackoverflow.com/questions/42116695

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install conda-recipes

You can download it from GitHub.
You can use conda-recipes like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: